Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
A developer built Arb3a Baloot, a reinforcement-learning agent that plays the Saudi trick-taking card game Baloot, and shipped it as a free, ad-free Android app this week. The bot uses PPO with self-play on a simulator r…
Researchers from Duke University and Tsinghua University published a paper on September 3, 2026 introducing PlaidQ, a continuous Gaussian latent-diffusion language model for code generation. Distilling the diffusion proc…
A 29 July 2026 arXiv paper by Aleksandr Berdnikov reports that most open-source language models of roughly 100B parameters hold a decodable representation of the night sky map in their residual stream, with the represent…
A developer built a court outcome prediction system that reduced target leakage from 92% to 0.1% across 609,715 Dutch court rulings by stripping outcome-announcing sentences before training. The system uses a traceable L…
Independent developer croqaz released three new vintage LLM models, a benchmark, and an evaluation pipeline trained only on pre-1900 texts, following the earlier Llama-340M base model that produced Victorian prose but co…
Long-horizon AI agents fail at an exponential rate because a 95% per-step success probability yields only a 35.8% chance of completing 20 turns and 7.7% at 50 steps, and the chance of a second error jumps from 5% to over…
A controlled pilot on a dedicated NVIDIA H200 GPU found ISO-AdamW scored 758 correct answers versus 754 for baseline AdamW on a 1,000-question held-out test, a +0.4% delta with a 95% confidence interval of [−1.8%, +2.7%]…
A September 11, 2026 arXiv paper (2609.12303) reports that distilled byte-level transformer models with roughly 1 billion parameters eventually surpass token-based models of the same size, reaching a higher downstream pe…
Applied Intuition is hiring a Prediction and Planning Technical Lead in Sunnyvale at $200,000–$300,000 per year, a range the job board reports as 5% above the $238,000 median for Core ML roles in the United States that p…
Forethought researchers concluded that data bottlenecks are unlikely to prevent a fast AI intelligence explosion, arguing that a software intelligence explosion inside a data centre could produce a highly sample-efficien…
Waymo posted a Senior Software Engineer, Mapping Data & Eval role on its Roadgraph team, offering a base salary of $213,000 to $263,000 per year for on-site work in San Francisco or Mountain View, California. The positio…
NVIDIA detailed BioNeMo Inference Runtime (BioIR), a Python library that accelerates biomolecular structure-prediction models on NVIDIA GPUs while remaining in plain PyTorch. In a matched benchmark on 1,000 human dimer t…
Bedrock Robotics is hiring an Internship 2027 Behavior Machine Learning Engineer for its World Models team in San Francisco, a hybrid intern role with no published salary. The intern will train and evaluate world models …
Anima Anandkumar and her Caltech group released a paper and code on September 7 showing a physics-informed neural network (PINN) can find a self-similar singular profile for the 3D Euler equations without forcing, a resu…
Toloka AI is hiring a Senior ML Researcher for its ML team in the European Union on an on-site basis, with salary not published, to own the company's end-to-end fine-tuning, RL, and evaluation stack. The role covers SFT/…
A developer independently implemented an image processing library in Julia for machine learning data augmentation, including distortion, rotation, scaling, zooming, flipping, filtering, and shearing operations for both C…
Waymo posted an opening for a Senior Machine Learning Engineer on its Predictive Planning (PrePlan) team, offering a base salary of $213,000 to $263,000 per year for an on-site role in Mountain View or San Francisco, Cal…
Harvard School of Dental Medicine faculty, residents, and students published a paper in Current Surgery Reports examining how AI and machine learning could help clinicians predict postoperative opioid needs and identify …
A developer deployed Google's Gemma 4 E2B quantization-aware-trained (QAT) checkpoint on a 4 GB GTX 1650 Ti laptop GPU, shrinking the model from 9.5 GiB in bfloat16 to a 3.35 GB Q4_0 GGUF file with only 1.31 GiB resident…
A developer extended Sebastian Raschka's GPT-2-style code from the book "Build a Large Language Model (from Scratch)" to add mixture-of-experts support and trained a 446M-parameter model with 220M active parameters from …